A significance of smart city pilot policies in China for enhancing carbon emission efficiency in construction.

The Chinese government seeks to promote economic growth and sustainable development while achieving carbon neutrality by establishing phased smart city pilots. Therefore, it is important to study whether smart city pilots can promote carbon emission efficiency (CEE). This paper constructs a multi-period difference-in-difference (DID) model based on panel data from 241 prefecture-level cities in China from 2007 to 2019, aiming to investigate the mechanism of the impact of smart city pilot policies (SCPP) on CEE and whether there is a rebound effect. The study found that smart city construction (SCC) significantly improves carbon efficiency, with pilot cities increasing their CEE by 1.4% compared to non-pilot cities. The conclusions remain robust under a variety of scenarios including the introduction of placebo tests, counterfactual tests, sample data screening, and omitted variable tests. The results of the mechanism test show that although the rebound effect can inhibit the improvement of CEE, the environment can be improved and the CEE can be enhanced through green technology innovation, industrial structure upgrading, energy structure optimization, environmental regulation effect, information technology support, and resource allocation effect. The heterogeneity results indicate that the SCPP is more effective in promoting CEE in cities in the eastern region, southern cities, environmentally friendly cities, large cities, and medium-sized cities. This study contributes to the existing literature in clarifying the environmental benefits of SCPP and provides valuable policy insights for cities to address climate change and sustainable development.

Spatial-temporal evolution of carbon emissions and spatial-temporal heterogeneity of influencing factors in the Bohai Rim Region, China.

The total change in carbon emissions in the Bohai Rim Region (BRR) plays a guiding role in the policy formulation of carbon emission reduction in northern China. Taking the 43 cities in the BRR as an example, the spatial-temporal evolution of carbon emissions in the BRR was analyzed using kernel density estimation (KDE), map visualization, and standard deviation ellipses, and the spatial autocorrelation model was used to explore the spatial clustering of carbon emissions. On this basis, the spatial-temporal heterogeneity of the factors influencing carbon emissions is explained using a Geodetector. The results are as follows: (i) During the study period, the carbon emissions in the BRR were on the rise, the share of carbon emissions in the Beijing-Tianjin-Hebei region (BTHR) and Liaoning Province was decreasing, and the contribution of Shandong Province was gradually enhanced. The spatial distribution of carbon emissions shows a geographical pattern of "middle-high and low-outside." (ii) Carbon emissions from different regions show the characteristics of BTHR > Shandong Province > Liaoning Province. The high-value carbon emission area continues to move from the northwest of Beijing-Tianjin-Hebei to the southeast. (iii) Municipal carbon emissions showed a significant positive spatial correlation in the later part of the study. The high-high aggregation area is in Tianjin, and the low-low aggregation area is in Liaoning Province. (iv) The level of transport development contributes to carbon emissions with the highest growth rate, followed by industrial structure. There are also regional differences in the dominant influences on municipal carbon emission differences. Population size, urbanization, and economic development level are the core influencing factors of carbon emissions in the BTHR, Shandong Province, and Liaoning Province, respectively. In addition, the explanatory power of the interaction between the level of economic development and other factors on carbon emissions is at a high level.

Psychometric Properties of Four Common Clinical Tests for Assessing Hamstring Flexibility in Young Adults.

Objective: To examine the psychometric properties of four common hamstring muscle flexibility tests involving the straight leg raise (SLR), passive knee extension (PKE), sit and reach test (SRT) and toe touch test (TTT) in young adults. Methods: Forty-three young healthy adults (mean age 27.4 years) were recruited for 3 repeated sessions of hamstring flexibility assessments using the 4 tests mentioned above and the subsequent isokinetic examinations. The first two sessions (S1 and S2) were conducted by two different raters randomly on the first day (D1), and the third session (S3) was conducted by the same rater as S1 3 days later (D4). The next day (D5), the isokinetic performances of knee extensors and flexors of the dominant leg were assessed. To evaluate the interrater (S1 vs. S2) and test-retest (S1 vs. S3) reliability of hamstring flexibility tests, intraclass correlation coefficients (ICCs), standard errors of measurement, and the minimum detectable differences were calculated. Correlation analyses were performed to study the association of each hamstring flexibility test with the isokinetic muscle function of the knee flexors (H) and extensors (Q), including the peak torque (PT), total amount of work (TW) and average power (AP). Results: Excellent interrater and test-retest reliability of hamstring flexibility tests involving the SLR, PKE, SRT and TTT were confirmed with ICCs ranging from 0.923 to 0.986. Fair correlations were found between the 4 hamstring flexibility tests and the H/Q for the PT at angular speeds of 180°/s (Pearson's r at 0.330-0.449). In addition, the PKE was fairly correlated with the AP of the hamstring (Pearson's r = 0.320) and the H/Q for the TW (Pearson's r = 0.345) and AP (Pearson's r = 0.386) at angular speeds of 180°/s. Conclusions: This study confirmed that the SLR, PKE, SRT and TTT were reliable flexibility tests for hamstring muscles in young healthy adults, and the PKE might be a more valid outcome measure to predict hamstring injury.

[Clinical significance of changes of lipid in elderly patients with hepatic schistosomiasis].

OBJECTIVE: To explore the clinical significance of lipid levels including total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low density lipoprotein (LDL-C), and apolipoprotein (APOA I and APOB) of elderly patients with hepatic schistosomiasis. METHODS: A total of 280 hospitalized elderly patients with hepatic schistosomiasis (198 cases of chronic liver fibrosis and 82 cases of hepatocirrhosis) were chosen as study objects, and their clinical data were collected and analyzed retrospectively. Meanwhile, the lipid levels between the patients with liver fibrosis and hepatocirrhosis, and those among the patients with A, B, C degrees of Child-pugh grading of liver function were compared. RESULTS: Among the 280 patients, the abnormality rates of the lipid levels were 34.8%(69/198)and 100% (82/82) in the liver fibrosis group and hepatocirrhosis group respectively, and the difference between them were statistically significant (χ2 = 5.74, P < 0.05). The levels of TC, HDL-C, LDL-C, APOA I of the patients in the latter group were significantly lower than those in the former group (all P <0.05). The levels of TC, TG, HDL-C, APOA I, APOB of the patients with C degree liver function were significantly lower than those of the patients with A degree liver function, and the levels of TC, TG, HDL-C of the former were also lower than those of the patients with B degree liver function (all P <0.05). CONCLUSIONS: The lipid levels of the elderly patients with hepatic schistosomiasis reduce obviously in the course of hepatocirrhosis, and it is correlated with the damage level of the liver. Lipid and apolipoprotein detections have certain values on the illness judgment and prognosis assessment.